A clear breakdown of what Brainforge fixes, how fast, and what it actually delivers.
LookML modeling
Clean, documented LookML models that analysts can extend without fear.
Looker consulting that turns LookML into governed metrics, not a bottleneck
Looker's power is the semantic layer, but LookML done badly becomes a bottleneck nobody can maintain. Brainforge builds clean LookML models, governs the semantic layer, consolidates dashboards, and plans honest migrations when Looker no longer fits.
In plain terms
What Looker means in practice
Where teams get stuck
Looker LookML modeling, semantic layer setup, dashboard governance, and migration support.
LookML is a bottleneck and only one person can maintain it.
Metrics are defined differently across explores and dashboards.
We bought Looker but it doesn't feel warehouse-native anymore.
We're evaluating Looker alternatives and need an honest architecture answer.
What we deliver
Core Looker
Semantic layer governance
Metric definitions and explores that keep one source of truth across BI and AI.
Dashboard and migration support
Dashboard consolidation and honest migration planning to modern BI layers.
How deep it goes
Capabilities behind the work
The same delivery primitives (context, controls, and review) show up across every engagement.
LookML implementation
Clean model structure, documentation, and review so analysts can extend Looker.
LookML modelingDocumentationCode review
Semantic layer governance
Metric definitions and explores that keep one source of truth across tools.
Metric definitionsExploresGovernance
Dashboard consolidation
Audit overlapping dashboards and consolidate into a governed reporting set.
Dashboard inventoryConsolidationOwnership
Migration planning
Honest evaluation of warehouse-native BI options with a path that protects working reporting.
BI evaluationMigration planningValidation
What changes
Outcomes you can point to
- Maintainable LookML with clear ownership.
- One set of governed metric definitions.
- Dashboards and AI querying the same semantic layer.
- A clear path to keep, modernize, or migrate Looker.
Proof in production
See where this work shows up.
Common questions
Looker, straight answers
How much does Looker consulting cost?
Scope drives price — a LookML audit, a semantic layer rebuild, or a full migration plan. You approve a fixed scope before work starts.
Can you fix a LookML codebase only one person can maintain?
Yes. We restructure the models, add documentation and review, and enable your analysts so LookML stops being a bottleneck.
Do you help teams decide between Looker and alternatives?
We do. We evaluate Looker against warehouse-native options honestly, grounded in your team skills, metric needs, and budget.
How long does a Looker governance setup take?
A LookML audit and metric governance foundation typically ships in 2–3 weeks. Dashboard consolidation and migration planning phase in from there.
Do you connect Looker to our warehouse and AI tools?
Yes. We wire Looker's semantic layer so dashboards and AI agents query the same governed metric definitions.
How we work
A path from pressure to a working system
01
Audit the semantic layer
We map LookML models, explores, and dashboards to find where metrics drift and maintenance breaks.
02
Rebuild maintainable LookML
We restructure models, add documentation, and set review so the team owns Looker again.
03
Govern metrics and plan the future
We wire dashboards and AI to one semantic layer, then help you decide keep, modernize, or migrate.
Our Trusted Partners
We only bring the best of the best
READY TO PUT
Looker to work?
Looker to work?
In one working session we'll name what's broken, what's possible, and the first system worth building.
